Study on early warning of gas in coal mine based on extension data mining
Xie Guo-min, Hua Fu, Wang Shi-yun · 2010
The gas disaster is threatening the safety of China's coal mines“ the number one killer.” Comprehensive and systematic understanding of a variety of leading gas accidents reasons and early scientific warning of gas for work safety in coal mines is an urgent need to address the problem. Predictions of coal gas for the problems, this paper use the extension data mining technology and it not only from a lot of information to mining useful knowledge, but also to identify potential hidden information. This can help us make the right decisions and improve the high coal gas disaster early-warning rate. This paper describes the extension data mining theory, with the extension data mining solution to coal mine disasters in the steps and using examples to prove the effectiveness of this method.